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A Comprehensive Process Improvement Methodology: Experiences at Caterpiller's Mossville Engine Center (MEC
| A Comprehensive Process Improvement Methodology: Experiences at Caterpiller's Mossville Engine Center (MEC |
| Autore | Paper David |
| Pubbl/distr/stampa | [Place of publication not identified], : NetLibrary Incorporated, 1999 |
| Soggetto topico |
Management
Business & Economics Management Styles & Communication |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910157611203321 |
Paper David
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| [Place of publication not identified], : NetLibrary Incorporated, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science Fundamentals for Python and MongoDB [[electronic resource] /] / by David Paper
| Data Science Fundamentals for Python and MongoDB [[electronic resource] /] / by David Paper |
| Autore | Paper David |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 214 p. 117 illus.) |
| Disciplina | 005.757 |
| Soggetto topico |
Big data
Python (Computer program language) Big Data Python |
| ISBN | 1-4842-3597-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Monte Carlo Simulation and Density Functions -- 3. Linear Algebra -- 4. Gradient Descent -- 5. Working with Data -- 6. Exploring Data. |
| Record Nr. | UNINA-9910300745103321 |
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Paper David
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hands-on Scikit-Learn for Machine Learning Applications [[electronic resource] ] : Data Science Fundamentals with Python / / by David Paper
| Hands-on Scikit-Learn for Machine Learning Applications [[electronic resource] ] : Data Science Fundamentals with Python / / by David Paper |
| Autore | Paper David |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 242 p. 33 illus.) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Python (Computer program language) Big data Machine Learning Python Big Data |
| ISBN | 1-4842-5373-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction to Scikit-Learn -- 2. Classification from Simple Training Sets -- 3. Classification from Complex Training Sets -- 4. Predictive Modeling through Regression -- 5. Scikit-Learn Classifier Tuning from Simple Training Sets -- 6. Scikit-Learn Classifier Tuning from Complex Training Sets -- 7. Scikit-Learn RegressionTuning -- 8. Putting it All Together. |
| Record Nr. | UNINA-9910369902203321 |
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Paper David
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem / / David Paper
| State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem / / David Paper |
| Autore | Paper David |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (388 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Reinforcement learning |
| ISBN | 1-4842-7341-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495237703321 |
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Paper David
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| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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TensorFlow 2.x in the Colaboratory Cloud : an introduction to deep learning on Google's Cloud Service / / David Paper
| TensorFlow 2.x in the Colaboratory Cloud : an introduction to deep learning on Google's Cloud Service / / David Paper |
| Autore | Paper David |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (XXIII, 264 p. 5 illus.) |
| Disciplina | 006.31 |
| Soggetto topico | Machine learning |
| ISBN | 1-4842-6649-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction to Deep Learning -- 2. Build Your First Neural Network with Google Colab -- 3. Working with TensorFlow Data -- 4. Working with Other Data -- 5. Classification -- 6. Regression -- 7. Convolutional Neural Networks -- 8. Automated Text Generation -- 9. Sentiment Analysis -- 10. Time Series Forecasting with RNNs. |
| Record Nr. | UNINA-9910483235303321 |
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Paper David
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| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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